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---
language:
- en
license: bigscience-openrail-m
library_name: transformers
tags:
- code
datasets:
- tyson0420/stackexchange-4dpo-filby-clang-keywords
metrics:
- code_eval
model-index:
- name: stack_codellama-7b-inst
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: AI2 Reasoning Challenge (25-Shot)
type: ai2_arc
config: ARC-Challenge
split: test
args:
num_few_shot: 25
metrics:
- type: acc_norm
value: 43.52
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=tyson0420/stack_codellama-7b-inst
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: HellaSwag (10-Shot)
type: hellaswag
split: validation
args:
num_few_shot: 10
metrics:
- type: acc_norm
value: 66.17
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=tyson0420/stack_codellama-7b-inst
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU (5-Shot)
type: cais/mmlu
config: all
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 39.59
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=tyson0420/stack_codellama-7b-inst
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: TruthfulQA (0-shot)
type: truthful_qa
config: multiple_choice
split: validation
args:
num_few_shot: 0
metrics:
- type: mc2
value: 39.03
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=tyson0420/stack_codellama-7b-inst
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: Winogrande (5-shot)
type: winogrande
config: winogrande_xl
split: validation
args:
num_few_shot: 5
metrics:
- type: acc
value: 65.67
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=tyson0420/stack_codellama-7b-inst
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: GSM8k (5-shot)
type: gsm8k
config: main
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 15.85
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=tyson0420/stack_codellama-7b-inst
name: Open LLM Leaderboard
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
Evaluating generations...
{
"humaneval": {
"pass@1": 0.32499999999999996,
"pass@10": 0.4329268292682927
},
"config": {
"prefix": "",
"do_sample": true,
"temperature": 0.2,
"top_k": 0,
"top_p": 0.95,
"n_samples": 10,
"eos": "<|endoftext|>",
"seed": 0,
"model": "tyson0420/stack_codellama-7b-inst",
"modeltype": "causal",
"peft_model": null,
"revision": null,
"use_auth_token": false,
"trust_remote_code": false,
"tasks": "humaneval",
"instruction_tokens": null,
"batch_size": 10,
"max_length_generation": 512,
"precision": "fp32",
"load_in_8bit": false,
"load_in_4bit": false,
"left_padding": false,
"limit": null,
"limit_start": 0,
"save_every_k_tasks": -1,
"postprocess": true,
"allow_code_execution": true,
"generation_only": false,
"load_generations_path": null,
"load_data_path": null,
"metric_output_path": "evaluation_results.json",
"save_generations": false,
"load_generations_intermediate_paths": null,
"save_generations_path": "generations.json",
"save_references": false,
"save_references_path": "references.json",
"prompt": "prompt",
"max_memory_per_gpu": null,
"check_references": false
}
}
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** [tyson0420]
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_tyson0420__stack_codellama-7b-inst)
| Metric |Value|
|---------------------------------|----:|
|Avg. |44.97|
|AI2 Reasoning Challenge (25-Shot)|43.52|
|HellaSwag (10-Shot) |66.17|
|MMLU (5-Shot) |39.59|
|TruthfulQA (0-shot) |39.03|
|Winogrande (5-shot) |65.67|
|GSM8k (5-shot) |15.85|
|